Research Intern: Meta-Cognitive AI for Multimodal Agents

Honda Research Institute USA; San Jose (CA); On-site; USD 9,600 - 14,000; Part time

Job summary

Honda Research Institute USA invites a research intern to explore meta-cognition in multimodal foundation model–based agents. You will study internal representations, probing neural activations, and inference-time mechanisms to enable self-monitoring, uncertainty estimation, and adaptive decision-making.

The internship focuses on robust, self-adapting agentic AI that can operate across complex tasks and embodied settings, with emphasis on continual learning and evaluation.

Qualifications

• Currently enrolled as a Ph.D. student or exceptional MS with research experience.
• Strong familiarity with multimodal foundation models and internal representations.
• Experience in open-source deep learning frameworks.

Responsibilities

• Develop meta-cognitive methods and internal mechanisms for adaptable multimodal agents.
• Investigate internal model representations for self-monitoring and uncertainty estimation.
• Explore inference-time strategies to improve reasoning, planning, and self-correction.
• Design benchmarks to evaluate meta-cognitive capabilities and robustness.

Skills

Agentic AI systems

Foundation models

Internal representations

Open-source DL frameworks

Education

Ph.D. student in Computer Science / ML

Exceptional MS with 1 year research

Tools

PyTorch

TensorFlow

JAX

Job description

Honda Research Institute USA invites a research intern to explore meta-cognition in multimodal foundation model–based agents. You will study internal representations, probing neural activations, and inference-time mechanisms to enable self-monitoring, uncertainty estimation, and adaptive decision-making.

The internship focuses on robust, self-adapting agentic AI that can operate across complex tasks and embodied settings, with emphasis on continual learning and evaluation.